Triple
T37976510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libertarian Party presidential ticket, 2016 |
E947438
|
entity |
| Predicate | campaignDescribedAs |
P82481
|
FINISHED |
| Object | fiscally conservative and socially liberal alternative to Republican and Democratic nominees |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fiscally conservative and socially liberal alternative to Republican and Democratic nominees | Statement: [Libertarian Party presidential ticket, 2016, campaignDescribedAs, fiscally conservative and socially liberal alternative to Republican and Democratic nominees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignDescribedAs Context triple: [Libertarian Party presidential ticket, 2016, campaignDescribedAs, fiscally conservative and socially liberal alternative to Republican and Democratic nominees]
-
A.
campaignDescriptor
chosen
Indicates that one entity serves as a descriptive label or characterization for a particular campaign associated with another entity.
-
B.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
-
C.
campaignExample
Indicates that one entity serves as an illustrative or representative example of a particular campaign associated with another entity.
-
D.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
E.
campaignFormat
Indicates the specific structural or stylistic format in which a campaign is designed or delivered (e.g., type, layout, or presentation style).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.